Machine Learning Vocabulary
algorithm
A set of rules or steps used to solve a problem or complete a task, often in computing or mathematics.
training
The process of teaching or learning a skill or behavior.
Glossary Reference
List of common words related to machine learning.
algorithm
A set of rules or steps used to solve a problem or complete a task, often in computing or mathematics.
training
The process of teaching or learning a skill or behavior.
data
Facts and statistics collected together for reference or analysis.
model
A representation or example of something, often used for demonstration or explanation.
feature
A distinctive attribute or aspect of something.
label
A piece of paper, cloth, or other material attached to an object that gives information about it.
validation
The act of confirming that something is correct, acceptable, or valid.
prediction
A statement about what will happen in the future based on knowledge or belief.
overfitting
The phenomenon in machine learning where a model learns the training data too well, including its noise and outliers, leading to poor generalization on new data.
underfitting
A condition in which a statistical model or machine learning algorithm is too simple to capture the underlying trend of the data.
classification
The action or process of categorizing things based on shared characteristics.
regression
A return to a previous state, often in reference to a decline in progress or behavior.
neural network
A computational model inspired by the neural networks in the human brain, used in artificial intelligence for tasks like pattern recognition and learning.
supervised
To oversee and direct the activities or work of someone or something.
unsupervised
Not supervised; referring to a type of learning or process that does not have a guiding authority.
clustering
The act of grouping a set of objects or data points into clusters.
cross-validation
A statistical method used to estimate the skill of machine learning models by dividing the data into subsets for training and testing.
dataset
A collection of related data or information, often organized in a structured format.
optimization
The action or process of making something as effective or functional as possible.
hyperparameter
A parameter whose value is set before the learning process begins and is not updated during training.
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